Using SAS PROC TCALIS for multigroup structural equation modelling with mean structures.

نویسندگان

  • Fei Gu
  • Wei Wu
چکیده

Multigroup structural equation modelling (SEM) is a technique frequently used to evaluate measurement invariance in social and behavioural science research. Before version 9.2, SAS was incapable of handling multigroup SEM. However, this limitation is resolved in PROC TCALIS in SAS 9.2. For the purpose of illustration, this paper provides a step-by-step guide to programming the tests of measurement invariance and partial invariance using PROC TCALIS for multigroup SEM with mean structures. Fit indices and parameter estimates are validated, thus providing an alternative tool for researchers conducting both applied and simulated studies. Other new features (e.g., different types of modelling languages and estimation methods) and limitations (e.g., ordered-categorical SEM and multilevel SEM) of the TCALIS procedure are also briefly discussed.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Multilevel Structural Equation Modeling

Iterative numerical procedures for the estimation of variance and covariance components for unbalanced designs were developed in the 1980s and were implemented in software packages such as MLWIN, SAS PROC MIXED and HLM. At the same time, interest in latent variables, that is, variables that cannot be directly observed or can only imperfectly be observed, led to the theory providing for the defi...

متن کامل

Maximum Likelihood Estimation of the Structural Nested Mean Model Using SAS PROC NLP: With Application to the Study of Time-Varying Moderators of the Effect of Weight Change on Quality of Life

This chapter reviews Robins’ Structural Nested Mean Model (SNMM) for assessing the effect of predictors that vary over time. The SNMM is used to study the effects of time-varying predictors (or treatments) in the presence of time-varying covariates that are moderators of these effects. We describe a SAS implementation of a maximum likelihood (ML) estimator of the parameters of a SNMM using SAS ...

متن کامل

The Comparative Analysis of Predictive Models for Credit Limit Utilization Rate with SAS/STAT®

Credit card usage modelling is a relatively innovative task of client predictive analytics compared to risk modelling such as credit scoring. The credit limit utilization rate is a problem with limited outcome values and highly dependent on customer behavior. Proportion prediction techniques are widely used for Loss Given Default estimation in credit risk modelling (Belotti and Crook, 2009; Ars...

متن کامل

Target detection Bridge Modelling using Point Cloud Segmentation Obtained from Photogrameric UAV

In recent years, great efforts have been made to generate 3D models of urban structures in photogrammetry and remote sensing. 3D reconstruction of the bridge, as one of the most important urban structures in transportation systems, has been neglected because of its geometric and structural complexity. Due to the UAV technology development in spatial data acquisition, in this study, the point cl...

متن کامل

Using linear mixed models in longitudinal studies: Application of SAS PROC MIXED

The objectives of this article are twofold: (a) to outline the basic concepts associated with the linear mixed model and (b) to illustrate how this model can be used to analyse systematic interindividual differences in intraindividual change, this being achieved through a longitudinal study of a cohort of children living in Cordoba (Argentina). These objectives will be met by using the PROC MIX...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • The British journal of mathematical and statistical psychology

دوره 64 3  شماره 

صفحات  -

تاریخ انتشار 2011